{"title":"Efficient Retrieval of Data from Cloud Databases using Hash Partitioned Buckets","authors":"Abhishek Nair.M, A. Dewangan, G. Mary A","doi":"10.1109/i-PACT44901.2019.8960047","DOIUrl":null,"url":null,"abstract":"Cloud computing has become a cornerstone of development during this era of computing. More and more users are turning to the cloud services provided by the third party service providers at cheaper costs and high availability. But protection and privacy of the data stored in the cloud is still a major concern since the users data is being controlled by a third –party in between. Encryption becomes an obvious choice though but is is still questionable on how well the data in its encrypted form can be managed at the cloud . We have proposed a method of applying partitioning techniques on the encrypted structured database in cloud . We have used the hash partitioning technique to partition our database. Our proposed method is compared against a traditional coding table method and it is found to be comaparitively efficient in terms of the running time of the queries.","PeriodicalId":214890,"journal":{"name":"2019 Innovations in Power and Advanced Computing Technologies (i-PACT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 Innovations in Power and Advanced Computing Technologies (i-PACT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/i-PACT44901.2019.8960047","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Cloud computing has become a cornerstone of development during this era of computing. More and more users are turning to the cloud services provided by the third party service providers at cheaper costs and high availability. But protection and privacy of the data stored in the cloud is still a major concern since the users data is being controlled by a third –party in between. Encryption becomes an obvious choice though but is is still questionable on how well the data in its encrypted form can be managed at the cloud . We have proposed a method of applying partitioning techniques on the encrypted structured database in cloud . We have used the hash partitioning technique to partition our database. Our proposed method is compared against a traditional coding table method and it is found to be comaparitively efficient in terms of the running time of the queries.